Electrical Discharge Monitoring Using a Unified Detection Model

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Solution Overview

Problem

Existing systems lack effective methods for monitoring and detecting electrical discharge, such as partial discharge, in electrical devices, particularly in high voltage systems, which can lead to equipment failure and safety hazards.

Innovation Solution

A method and system for monitoring electrical discharge in electrical devices, involving the collection of output indications from physical parameters related to discharge, generation of a unified model based on these indications, and application of the model to identify discharge-related conditions, including presence, severity, and location of discharge.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional monitoring methods are used for electrical discharge detection, then the system complexity is low, but the measurement precision and reliability of discharge detection are insufficient

Engineering Contradiction:

Improveelectrical discharge detection precisionVSAvoidmonitoring system complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The monitoring system is segmented into multiple independent functional modules: signal acquisition module, feature extraction module, classification module, and notification module. Each module performs a specific function in the discharge detection process, allowing for improved measurement precision through specialized processing while managing complexity through modular design.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system employs a unified model trained on diverse electrical devices (transformers, cables, breakers, switchgears) that can detect multiple types of electrical discharge (partial discharge, corona discharge, flashover). This universal approach improves detection precision across different device types without requiring separate specialized systems for each device.

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Reliability

If comprehensive physical parameters are collected from multiple electrical devices, then the reliability of discharge identification is improved, but the loss of time for data processing increases

Engineering Contradiction:

Improvedischarge condition identification reliabilityVSAvoidmodel training and application time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The unified model is trained in advance using comprehensive datasets from multiple electrical devices and discharge types before actual monitoring begins. This preliminary training action stores the learned patterns, enabling rapid real-time discharge identification without requiring extensive processing time during operational monitoring.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system replaces traditional mechanical signal processing methods with machine learning-based automated pattern recognition. The unified model automatically identifies discharge conditions by learning from training data, substituting manual or rule-based analysis with intelligent algorithms that process multiple physical parameters efficiently.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Productivity

If automated model application is implemented for discharge detection, then the productivity of monitoring operations is improved, but the device complexity increases

Engineering Contradiction:

Improvemonitoring operation efficiencyVSAvoidautomated system complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The unified model performs self-service by automatically detecting discharge conditions, classifying discharge types, and generating notifications without human intervention. The system monitors physical parameters, applies the trained model, and provides automated outputs, improving productivity while the modular architecture manages the inherent complexity through organized functional segments.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system implements feedback mechanisms where the classification results and notifications are automatically generated based on real-time parameter analysis. This closed-loop feedback approach enables automated monitoring operations with the model continuously applying learned patterns to incoming data, improving efficiency through automation.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS20250035693A1Condition monitoring of electrical devices

Publication Date: 2025.01.30 AUGURY SYSTEMS LTD

AI summary

A method for monitoring and identifying electrical discharge generated by electrical devices including collecting output indications of at least one physical parameter related to electrical discharge and sensed from a plurality of electrical devices operating at a voltage at which electrical discharge may occur, generating a unified model representative of behavior of the plurality of electrical devices based at least on the output indications of the at least one physical parameter sensed from the plurality of electrical devices, applying the model to output indications of the at least one physical parameter sensed from at least one given electrical device operating at a voltage at which electrical discharge may occur, identifying, at least by the applying of the model, at least one electrical-discharge related condition of the given electrical device, and automatically providing a human sensible output notification including an indication of the at least one identified condition.